Latest AI and machine learning research in refractive surgery for healthcare professionals.
Numerous artificial intelligence (AI) models, including deep learning techniques, are being develope...
Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...
Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...
Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry ...
Machine learning can be used to identify risk factors associated with graft rejection after corneal ...
Pathological myopia is a severe eye condition that can cause serious complications like retinal deta...
The development of cascading hydropower dams in river basins has significantly altered natural flow ...
BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for heal...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
PURPOSE: To create a machine-learning model for estimating the likelihood of post-retrograde intrare...
The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles...
Multimodal cancer therapies are often required for progressive cancers due to the high persistence a...
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstandin...
A crucial issue in forensics is determining the post-mortem interval (PMI), the time between death a...
In this study, we assessed the physical burden on professional caregivers when using a transfer supp...
The advent of artificial intelligence (AI) has catalyzed a profound transformation in the pharmaceut...
PURPOSE: To describe choroidal thickness measurements using a sequential deep learning segmentation ...
This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches...
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...
BACKGROUND: The long-term survival of liver transplant (LT) recipients is essential for optimizing o...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...